期刊
COMPUTERS & OPERATIONS RESEARCH
卷 32, 期 4, 页码 901-917出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2003.09.005
关键词
scheduling; no-wait; open shop; branch-and-bound; heuristic
This paper examines the problem of scheduling two-machine no-wait open shops to minimize makespan. The problem is known to be strongly NP-hard. An exact algorithm, based on a branch-and-bound scheme, is developed to optimally solve medium-size problems. A number of dominance rules are proposed to improve the search efficiency of the branch-and-bound algorithm. An efficient two-phase heuristic algorithm is presented for solving large-size problems. Computational results show that the branch-and-bound algorithm can solve problems with up to 100 jobs within a reasonable amount of time. For large-size problems, the solution obtained by the heuristic algorithm has an average percentage deviation of 0.24% from a lower bound value. (C) 2003 Elsevier Ltd. All rights reserved.
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